What Data for This Category Looks Like
Internal office documents for expressway operations come primarily from toll systems, road patrol systems, maintenance management platforms, employee attendance systems, and internal office collaboration tools. Data update cadences cover four categories: real-time (toll transactions, abnormal alerts), daily (attendance reports), weekly (maintenance weekly reports), and monthly (financial settlement statements). Document formats include structured tables (with fields such as station, lane, amount, mileage; units are yuan, kilometers), long-text training notices, scanned patrol record PDFs, and Word-format maintenance plans. Document length varies widely, from several hundred characters of real-time alert notices to tens of thousands of characters of annual operation summaries.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking
Multi-source, multi-format documents for expressway operations create multiple constraints for parsing and chunking. Structured tables have fixed fields and units. Avoid breaking the correspondence between columns and values during chunking. Long documents such as annual operation summaries may cover multiple business modules in a single document. Accurately identify paragraph boundaries. Scanned patrol records have image noise. Adapt to high-precision OCR parsing. Real-time updated toll transactions and alert documents require low-latency parsing processes. Prevent data synchronization interruptions caused by timeouts. Different documents have varying update cadences. Match the flexibility of chunking strategies. Adapt to scenarios where multiple documents are parsed in a single batch.
How to Set Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Expressway operation documents range from hundreds-of-character alerts to thousands-of-character maintenance plans. This range balances context completeness and retrieval accuracy |
chunkSplitter | Split by paragraph + heading hierarchy | Documents include structured tables, long-text notices, and hierarchical maintenance manuals. Splitting by paragraph and heading preserves content logical boundaries |
customPdfParse | Enable pdf-marker parsing mode | Scanned patrol record PDFs have a high proportion of usage. This mode optimizes OCR recognition and typesetting restoration effects |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large monthly financial settlement PDF documents take a long time to parse. This duration covers the parsing needs of most batch document scenarios |
chunkSettingMode | Manual configuration | Chunking parameters need to be adjusted separately for structured tables and long texts to adapt to the parsing needs of multi-format documents |
Three Common Mistakes
- Phenomenon: Calling the parsing API returns
408 Request Timeout, or large PDF parsing status remains in processing. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default duration is insufficient for parsing large monthly settlement documents. - Phenomenon: Scanned patrol record parsed text has extensive recognition errors or messy formatting. Cause: The pdf-marker parsing mode under
customPdfParsewas not enabled. The default parsing logic does not optimize the OCR process for scanned PDFs. - Phenomenon: When calling the multi-file conversation API, the passed documents cannot be correctly identified, or parameter format errors are returned. Cause: The
contentfield was not organized in the format required by official guidelines. Document paths were incorrectly concatenated, or file types were not declared correctly.
How to Confirm Configurations Are Set Correctly
- Upload a toll report PDF containing structured tables. Check if parsed chunks retain the complete correspondence between station, amount, and lane data.
- Upload a scanned patrol record. Confirm that the parsed text has no obvious formatting errors or OCR recognition mistakes.
- Adjust
PARSE_FILE_TIMEOUT_SECONDSto 600 seconds. Upload a maintenance manual with more than 100 pages. Confirm that the parsing task completes within the set duration. - Call the document library pull API. Verify that the returned document metadata includes correct file name, update time, and parsing status.
- Upload documents synced from Feishu multi-dimensional tables. Confirm that parsed results can correctly associate with the latest synced data.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.